Combining auto-regression with exogenous variables in sequence-to-sequence recurrent neural networks for short-term load forecasting

Load Forecasting ◽

Short Term ◽

Exogenous Variables ◽

Short Term Load Forecasting ◽

Auto Regression

Recurrent Neural Networks for Short-Term Load Forecasting

10.1007/978-3-319-70338-1 ◽

2017 ◽

Cited By ~ 34

Author(s):

Filippo Maria Bianchi ◽

Enrico Maiorino ◽

Michael C. Kampffmeyer ◽

Antonello Rizzi ◽

Robert Jenssen

Keyword(s):

Neural Networks ◽

Load Forecasting ◽

Short Term ◽

Very short-term load forecasting based on NARX recurrent neural networks

2014 IEEE PES General Meeting | Conference & Exposition ◽

10.1109/pesgm.2014.6939012 ◽

2014 ◽

Cited By ~ 1

Author(s):

Luciano Carli M. de Andrade ◽

Mario Oleskovicz ◽

Athila Quaresma Santos ◽

Denis Vinicius Coury ◽

Ricardo Augusto Souza Fernandes

Keyword(s):

Neural Networks ◽

Load Forecasting ◽

Short Term ◽

Very Short Term Load Forecasting Using Cartesian Genetic Programming Evolved Recurrent Neural Networks (CGPRNN)

2013 12th International Conference on Machine Learning and Applications ◽

10.1109/icmla.2013.181 ◽

2013 ◽

Cited By ~ 11

Author(s):

Gul Muhammad Khan ◽

Faheem Zafari ◽

S. Ali Mahmud

Keyword(s):

Neural Networks ◽

Genetic Programming ◽

Load Forecasting ◽

Cartesian Genetic Programming ◽

Short Term ◽

Recurrent neural networks for short-term load forecasting

IEEE Transactions on Power Systems ◽

10.1109/59.651623 ◽

1998 ◽

Vol 13 (1) ◽

pp. 126-132 ◽

Cited By ~ 97

Author(s):

J. Vermaak ◽

E.C. Botha

Keyword(s):

Neural Networks ◽

Load Forecasting ◽

Short Term ◽

Short-Term Load Forecasting Using Recurrent Neural Networks With Input Attention Mechanism and Hidden Connection Mechanism

IEEE Access ◽

10.1109/access.2020.3029224 ◽

2020 ◽

Vol 8 ◽

pp. 186514-186529

Author(s):

Mingfei Zhang ◽

Zhoutao Yu ◽

Zhenghua Xu

Keyword(s):

Neural Networks ◽

Load Forecasting ◽

Attention Mechanism ◽

Short Term ◽

A comparison of artificial neural networks and support vector machines for short-term load forecasting using various load types

2017 IEEE Manchester PowerTech ◽

10.1109/ptc.2017.7980814 ◽

2017 ◽

Cited By ~ 6

Author(s):

Glen Mitchell ◽

Sanjay Bahadoorsingh ◽

Neil Ramsamooj ◽

Chandrabhan Sharma

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Support Vector Machines ◽

Load Forecasting ◽

Support Vector ◽

Short Term ◽

Vector Machines ◽

Short Term Load Forecasting ◽

Artificial Neural ◽

Load Types

Comparison of forecasting methods for power system short-term load forecasting based on neural networks

2016 IEEE International Conference on Information and Automation (ICIA) ◽

10.1109/icinfa.2016.7831806 ◽

2016 ◽

Cited By ~ 6

Author(s):

Linlin Zhuang ◽

Hai Liu ◽

Jimin Zhu ◽

Shulin Wang ◽

Yong Song

Keyword(s):

Neural Networks ◽

Power System ◽

Load Forecasting ◽

Short Term ◽

Forecasting Methods ◽

Estimating temperature profiles for short-term load forecasting: neural networks compared to linear models

IEE Proceedings - Generation Transmission and Distribution ◽

10.1049/ip-gtd:20040491 ◽

2004 ◽

Vol 151 (4) ◽

pp. 543 ◽

Cited By ~ 28

Author(s):

H.S. Hippert ◽

C.E. Pedreira

Keyword(s):

Neural Networks ◽

Linear Models ◽

Load Forecasting ◽

Temperature Profiles ◽

Short Term ◽

Methods of Training of Neural Networks for Short Term Load Forecasting in Smart Grids

Computational Collective Intelligence - Lecture Notes in Computer Science ◽

10.1007/978-3-319-67074-4_42 ◽

2017 ◽

pp. 433-441

Author(s):

Robert Lis ◽

Artem Vanin ◽

Anastasiia Kotelnikova

Keyword(s):

Neural Networks ◽

Smart Grids ◽

Load Forecasting ◽

Short Term ◽

Short-term load forecasting for power grids based on MEEMD and neural networks

10.1109/aemcse51986.2021.00022 ◽

2021 ◽

Author(s):

Wang Le ◽

Chen Xiao Qiang ◽

Wang Ying

Keyword(s):

Neural Networks ◽

Load Forecasting ◽

Power Grids ◽

Short Term ◽